95 citations · 196 across the 14 of their papers we have counts for
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stat.ME2017
A Nonparametric Bayesian Approach for Sparse Sequence Estimation
Yunbo Ouyang, Feng Liang
A nonparametric Bayes approach is proposed for the problem of estimating a sparse sequence based on Gaussian random variables. We adopt the popular two-group prior with one compone…
stat.ME2012★ 20 cited
From Minimax Shrinkage Estimation to Minimax Shrinkage Prediction
Edward I. George, Feng Liang, Xinyi Xu
In a remarkable series of papers beginning in 1956, Charles Stein set the stage for the future development of minimax shrinkage estimators of a multivariate normal mean under quadr…
stat.ME2007★ 27 cited
The Use of Unlabeled Data in Predictive Modeling
Feng Liang, Sayan Mukherjee, Mike West
The incorporation of unlabeled data in regression and classification analysis is an increasing focus of the applied statistics and machine learning literatures, with a number of re…